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Integrated assessment models (IAMs) are playing an increasingly important role in long-run sustainability analysis. At their core is a set of global economic and environmental accounts which capture a complete set of inter-industry and inter-regional relationships in the global economy in a consistent manner. While much attention is focused on the raw data and parameterization required to expand or add sectoral detail to IAMs, only rarely is there discussion of how different matrix balancing methods (i.e. translating disparate raw data sources into the consistent database) affect modeling results. This article offers an in-depth look into the database–modeling nexus in IAMs, focusing on the electric power sector which is both a major source of CO2 emissions and a critical vehicle for climate change mitigation. Comparisons of the prevailing matrix balancing algorithms show how the choice of database reconciliation methodology affects modeling results using policy-relevant simulations in the context of the electric power sector. The resulting insights can be applied to the disaggregation of other, technology rich sectors in the economy. We conclude that appropriate selection of database reconciliation methodologies can reduce the deviation between bottom-up and top-down modeling.

Abstract To ensure long-term availability of mobility and to keep the effects of humanity on global climate limited, politics, research, and industry currently search for ways to reduce greenhouse gas (GHG) emissions caused by it. A potential reduction could be achieved by transitioning towards more efficient transport modes, optimally powered by renewable energy. Based on mobility (commutes), population, and weather data from Switzerland, we present a model to compute energy savings due to a (hypothetical) widespread deployment of electric bicycles. In different scenarios, we analyze the dependence of the commuting energy demand on users’ preferences about when to take the bike, such as an aversion to biking on cold and rainy days. Our study shows that GHG emission reductions of up to approx. 10% of the total emissions from diesel and gasoline are possible. In combination with a widespread deployment of electric vehicles, further savings of up to 17.5% could be achieved. In particular, the willingness to drive longer commutes by e-bike influences the potential GHG emission reductions, followed by the willingness to use the bicycle at temperatures below 10°C. Using these results, we identify the spatial energy and greenhouse gas savings potential and thus regions that are particularly suited for e-bike use. The identification of regions with high saving potentials allows for targeted marketing, transition-supporting incentives, or infrastructural changes to maximize the reduction of emissions.

The upsurge in higher education is considered a key determinant for enhancing green growth. Moreover, ICT development is also the main catalyst of green growth. This research explores the role of higher education and ICT on green growth for China from 1995 to 2020. The study employs auto-regressive distributive lag (ARDL) approach for short-run and long-run estimates of green growth. The effect of higher education and ICT on green growth is significantly positive in the long run and short run. The outcomes of the empirical models reveal that financial inclusion is positively associated with green growth in both long run and short run. Moreover, renewable energy consumption is found to have a positive impact on green growth. The findings thus point to the need for policies that promote human capital and ICT infrastructure as a way of accelerating green growth.

This paper presents a study of the socio-technical ordering of time around wood-fuelled heating systems of detached houses. It analyses the sequences and rhythms that organize the work of domestic heating, its synchronization with other daily activities, and tempo as the subjective experience of time in these activities. The study is based on a large, pre-existing Finnish free-form diary collection. We suggest that domestic energy technologies become useable and useful through the gradual embedding that involves the temporal organization of everyday life. As a result, technologies that organize time are not only convenient in an invisible way but also act as taken-for-granted coordinates and rhythms of human pursuits in everyday life. In many countries, wood-fuelled heating systems remain a common renewable energy technology in detached houses and stand as one option to lower related carbon emissions. However, the broader use of wood is compromised by time and convenience.

Space travel, often used by the authors as an equivalent to ‘space tourism’, and outer-space migration should become part of the sustainability discourse – that is the most tempting argument of the...

Tourism has been recognized as a significant greenhouse gas (GHG) emissions sector on a global scale. Yet, only few studies assess tourism's share in national emissions. This paper compares and ana ...

This research examines the role of poverty and logistical operations under the circumstance of environmental deterioration with panel data of ASEAN states from 2007 to 2017. The system-generalized method of moments (GMM) was adopted due to the presence of endogeneity. The results indicate that poverty and logistical operations have significant and positive relationship with greater environmental degradation. Because poor people are not skilled, they have to consume natural resources in original and unsustainable way for their survival and profits, which results in greater level of deforestation. On another hand, lacking fuel-efficient/green vehicles and green practices in logistical operations of ASEAN countries, logistics activities mainly depend on fossil fuel consumption, which generates greater carbon emission, methane, and greenhouse emissions that can directly damage the environment and become a primary source of climate change. Therefore, reduction in environmental degradation can be achieved through reduction in poverty and encouraging renewable energy and green practices in logistical operations. In addition, this study also provides detailed policy implications to regulatory bodies and corporate sector in order to improve environmental sustainability through adoption of green practices and reduction in poverty.

A Sustainable Urban Mobility Plan (SUMP) is a strategic (long period) transportation plan aimed to improve welfare of both people and workers living in the city as well as in its surrounding area. Compared to “traditional” urban transportation plans, SUMP moves the focus from traffic (vehicles) to people with significant advancements in the direction of a sustainable mobility jointly with the quality of life. According to the recent European Guidelines, this type of strategic plan has to be built on existing planning practices and take due consideration: the integration, the participation, and evaluation. Starting from these considerations, in absence of a detailed national guideline implementing SUMP, the aim of this paper was to apply an innovative theoretical decision-making approachfor the development of the Naples (Italy) SUMP. This case study appears to be interesting because of the specificity of Naples, that is the third largest Italian city and metropolitan area with the highest population density. In 2016, the city of Naples has efficiently concluded and ratified a first formalization of acts: 'The analysis of mobility system' and ‘The statement of strategic objectives

An analysis of students’ conceptions on climate change shows a great confusion on key aspects of global warming. Even after instruction students often hold conceptions that differ from scientists’ conceptions. Student’s conceptions on global warming were collected in a reanalysis of 24 studies on everyday concepts of global warming as well as in an own interview study with 35 18-year-old students from German grammar schools. Climate-scientists conceptions were analysed from textbooks and research reports in a literature study. All data were analysed by systematic metaphor analysis and qualitative content analysis. Experientialism as a theory of metaphor provided insight in the process of understanding. The analysis of conceptions by experientialism shows that students and scientists have different metaphorical conceptions of global warming – but both refer to the same schemata. These schemata in mind we categorised the conceptions of global warming. Hereby we identified different thinking patterns in stud...